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星载GNSS-R海面风速反演方法研究

杨东凯 刘毅 王峰

杨东凯, 刘毅, 王峰. 星载GNSS-R海面风速反演方法研究[J]. 电子与信息学报, 2018, 40(2): 462-469. doi: 10.11999/JEIT170490
引用本文: 杨东凯, 刘毅, 王峰. 星载GNSS-R海面风速反演方法研究[J]. 电子与信息学报, 2018, 40(2): 462-469. doi: 10.11999/JEIT170490
YANG Dongkai, LIU Yi, WANG Feng. Ocean Surface Wind Speed Retrieval Using Spaceborne GNSS-R[J]. Journal of Electronics & Information Technology, 2018, 40(2): 462-469. doi: 10.11999/JEIT170490
Citation: YANG Dongkai, LIU Yi, WANG Feng. Ocean Surface Wind Speed Retrieval Using Spaceborne GNSS-R[J]. Journal of Electronics & Information Technology, 2018, 40(2): 462-469. doi: 10.11999/JEIT170490

星载GNSS-R海面风速反演方法研究

doi: 10.11999/JEIT170490

Ocean Surface Wind Speed Retrieval Using Spaceborne GNSS-R

  • 摘要: 星载GNSS-R因其时延-多普勒相关功率(DDM)波形对风速的敏感性较低,采用理论与实测波形匹配的方法所得风速精度较差。针对这一问题,该文采用一种直接建立相关功率值与风速之间联系的方法获取风速信息。基于相关功率模型对散射功率进行了归一化修正及其简化处理,利用UK TDS-1卫星试验数据和散射计(ASCAT)同比观测风速分别建立归一化散射功率及其简化式与海面风速之间的经验模型。与ASCAT观测风速对比结果表明:在0~20 m/s的风速范围内,采用归一化散射功率反演风速的均方根误差为2.11 m/s;两种方法的反演精度相近,简化修正方式避免了复杂的积分运算更适用于实时处理。
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出版历程
  • 收稿日期:  2017-05-22
  • 修回日期:  2017-10-06
  • 刊出日期:  2018-02-19

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